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Ontologies for Bioinformatics
| Content Provider | SAGE Publishing |
|---|---|
| Author | Schuurman, Nadine Leszczynski, Agnieszka |
| Copyright Year | 2008 |
| Abstract | The past twenty years have witnessed an explosion of biological data in diverse database formats governed by heterogeneous infrastructures. Not only are semantics (attribute terms) different in meaning across databases, but their organization varies widely. Ontologies are a concept imported from computing science to describe different conceptual frameworks that guide the collection, organization and publication of biological data. An ontology is similar to a paradigm but has very strict implications for formatting and meaning in a computational context. The use of ontologies is a means of communicating and resolving semantic and organizational differences between biological databases in order to enhance their integration. The purpose of interoperability (or sharing between divergent storage and semantic protocols) is to allow scientists from around the world to share and communicate with each other. This paper describes the rapid accumulation of biological data, its various organizational structures, and the role that ontologies play in interoperability. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.4137/BBI.S451?download=true |
| ISSN | 11779322 |
| Volume Number | 2 |
| Journal | Bioinformatics and Biology Insights (BBI) |
| e-ISSN | 11779322 |
| DOI | 10.4137/BBI.S451 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2008-03-12 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © 2008 SAGE Publications. |
| Subject Keyword | semantics bioinformatics biological databases ontologies Gene Ontology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Molecular Biology Biochemistry Computer Science Applications Computational Mathematics |
